Overview

Brought to you by YData

Dataset statistics

Number of variables87
Number of observations2380047
Missing cells5035838
Missing cells (%)2.4%
Total size in memory1.5 GiB
Average record size in memory696.0 B

Variable types

Numeric81
Text6

Alerts

CTELENUM has 186872 (7.9%) missing values Missing
CHCCOPD1 has 506480 (21.3%) missing values Missing
QLACTLM2 has 60492 (2.5%) missing values Missing
USEEQUIP has 64638 (2.7%) missing values Missing
SMOKE100 has 50567 (2.1%) missing values Missing
USENOW3 has 52607 (2.2%) missing values Missing
ALCDAY5 has 84101 (3.5%) missing values Missing
EXERANY2 has 87497 (3.7%) missing values Missing
SEATBELT has 139316 (5.9%) missing values Missing
PNEUVAC3 has 141691 (6.0%) missing values Missing
HIVTST6 has 165813 (7.0%) missing values Missing
_DUALUSE has 506467 (21.3%) missing values Missing
HTIN4 has 57792 (2.4%) missing values Missing
HTM4 has 49314 (2.1%) missing values Missing
WTKG3 has 117954 (5.0%) missing values Missing
_BMI5 has 146916 (6.2%) missing values Missing
_BMI5CAT has 146916 (6.2%) missing values Missing
_AIDTST3 has 165813 (7.0%) missing values Missing
_IMPRACE has 441456 (18.5%) missing values Missing
_DRNKDY4 has 441463 (18.5%) missing values Missing
_DRNKMO4 has 441456 (18.5%) missing values Missing
_RFDRHV4 has 441456 (18.5%) missing values Missing
RCSBIRTH has 441456 (18.5%) missing values Missing
CTELENUM is highly skewed (γ1 = 212.8228879) Skewed

Reproduction

Analysis started2025-05-13 12:52:11.762896
Analysis finished2025-05-13 12:52:25.572823
Duration13.81 seconds
Software versionydata-profiling v4.16.1
Download configurationconfig.json

Variables

_STATE
Real number (ℝ)

Distinct53
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.78154087
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:25.615186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q119
median29
Q342
95-th percentile54
Maximum72
Range71
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.72223587
Coefficient of variation (CV)0.5279188187
Kurtosis-0.6157476451
Mean29.78154087
Median Absolute Deviation (MAD)12
Skewness0.1711677389
Sum70881467
Variance247.1887009
MonotonicityNot monotonic
2025-05-13T08:52:25.712240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 101709
 
4.3%
20 92774
 
3.9%
25 84070
 
3.5%
27 75167
 
3.2%
12 73769
 
3.1%
34 69040
 
2.9%
53 67461
 
2.8%
8 66452
 
2.8%
6 65529
 
2.8%
48 65152
 
2.7%
Other values (43) 1618924
68.0%
ValueCountFrequency (%)
1 39820
1.7%
2 20511
 
0.9%
4 40860
1.7%
5 25708
 
1.1%
6 65529
2.8%
ValueCountFrequency (%)
72 30340
1.3%
66 10002
 
0.4%
56 31505
1.3%
55 30423
1.3%
54 28746
1.2%

FMONTH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.373130867
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:25.795863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.432899217
Coefficient of variation (CV)0.5386519262
Kurtosis-1.215397464
Mean6.373130867
Median Absolute Deviation (MAD)3
Skewness0.01612677532
Sum15168351
Variance11.78479704
MonotonicityNot monotonic
2025-05-13T08:52:25.838020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 221345
9.3%
7 220561
9.3%
1 220124
9.2%
4 219510
9.2%
3 196816
8.3%
2 196074
8.2%
8 193181
8.1%
5 188615
7.9%
9 188577
7.9%
11 185752
7.8%
Other values (2) 349492
14.7%
ValueCountFrequency (%)
1 220124
9.2%
2 196074
8.2%
3 196816
8.3%
4 219510
9.2%
5 188615
7.9%
ValueCountFrequency (%)
12 167379
7.0%
11 185752
7.8%
10 221345
9.3%
9 188577
7.9%
8 193181
8.1%

IDATE
Text

Distinct1875
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:25.914192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters26180517
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowb'01292015'
2nd rowb'01202015'
3rd rowb'02012015'
4th rowb'01142015'
5th rowb'01142015'
ValueCountFrequency (%)
b'04032012 2767
 
0.1%
b'08022011 2727
 
0.1%
b'03022011 2727
 
0.1%
b'08012012 2685
 
0.1%
b'02072012 2670
 
0.1%
b'04042012 2656
 
0.1%
b'08032011 2646
 
0.1%
b'08022012 2639
 
0.1%
b'11032011 2589
 
0.1%
b'07092013 2555
 
0.1%
Other values (1866) 2353441
98.9%
2025-05-13T08:52:26.025637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26180517
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 5442645
20.8%
1 4997639
19.1%
' 4760094
18.2%
2 4075942
15.6%
b 2380047
9.1%
3 1031298
 
3.9%
4 902192
 
3.4%
5 866214
 
3.3%
6 442114
 
1.7%
7 437301
 
1.7%
Other values (3) 845031
 
3.2%

IMONTH
Text

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.074334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters11900235
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowb'01'
2nd rowb'01'
3rd rowb'02'
4th rowb'01'
5th rowb'01'
ValueCountFrequency (%)
b'03 224579
9.4%
b'08 207834
8.7%
b'11 205029
8.6%
b'02 203268
8.5%
b'07 202825
8.5%
b'10 202810
8.5%
b'04 200504
8.4%
b'06 195100
8.2%
b'05 194401
8.2%
b'09 187097
7.9%
Other values (5) 356655
15.0%
2025-05-13T08:52:26.147266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
0 1990615
16.7%
1 969413
 
8.1%
2 387670
 
3.3%
3 224579
 
1.9%
8 207834
 
1.7%
7 202825
 
1.7%
4 200504
 
1.7%
6 195100
 
1.6%
Other values (3) 381554
 
3.2%

IDAY
Text

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.195196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters11900235
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'29'
2nd rowb'20'
3rd rowb'01'
4th rowb'14'
5th rowb'14'
ValueCountFrequency (%)
b'07 102288
 
4.3%
b'09 101214
 
4.3%
b'06 100370
 
4.2%
b'10 99788
 
4.2%
b'08 98238
 
4.1%
b'05 97282
 
4.1%
b'11 96549
 
4.1%
b'12 95638
 
4.0%
b'03 95082
 
4.0%
b'04 91965
 
3.9%
Other values (21) 1401633
58.9%
2025-05-13T08:52:26.275880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11900235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
40.0%
b 2380047
20.0%
1 1144769
 
9.6%
0 1071983
 
9.0%
2 833065
 
7.0%
3 317041
 
2.7%
5 236452
 
2.0%
4 236165
 
2.0%
6 236099
 
2.0%
7 234476
 
2.0%
Other values (2) 450044
 
3.8%

IYEAR
Text

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.315639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters16660329
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowb'2015'
2nd rowb'2015'
3rd rowb'2015'
4th rowb'2015'
5th rowb'2015'
ValueCountFrequency (%)
b'2011 503410
21.2%
b'2013 489678
20.6%
b'2012 475160
20.0%
b'2014 465523
19.6%
b'2015 435361
18.3%
b'2016 10915
 
0.5%
2025-05-13T08:52:26.384533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16660329
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 4760094
28.6%
1 2883457
17.3%
2 2855207
17.1%
b 2380047
14.3%
0 2380047
14.3%
3 489678
 
2.9%
4 465523
 
2.8%
5 435361
 
2.6%
6 10915
 
0.1%

DISPCODE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean898.3395622
Minimum110
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.419052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile110
Q11100
median1100
Q31100
95-th percentile1200
Maximum1200
Range1090
Interquartile range (IQR)0

Descriptive statistics

Standard deviation410.3956405
Coefficient of variation (CV)0.4568379906
Kurtosis-0.04825316961
Mean898.3395622
Median Absolute Deviation (MAD)0
Skewness-1.38556414
Sum2138090380
Variance168424.5817
MonotonicityNot monotonic
2025-05-13T08:52:26.449871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1100 1663445
69.9%
110 463716
 
19.5%
1200 210135
 
8.8%
120 42751
 
1.8%
ValueCountFrequency (%)
110 463716
 
19.5%
120 42751
 
1.8%
1100 1663445
69.9%
1200 210135
 
8.8%
ValueCountFrequency (%)
1200 210135
 
8.8%
1100 1663445
69.9%
120 42751
 
1.8%
110 463716
 
19.5%

SEQNO
Real number (ℝ)

Distinct126981
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012946329
Minimum2011000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.485958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2011000001
5-th percentile2011002253
Q12012001671
median2013003962
Q32014006239
95-th percentile2015006845
Maximum2015023236
Range4023235
Interquartile range (IQR)2004568

Descriptive statistics

Standard deviation1408557.195
Coefficient of variation (CV)0.0006997490073
Kurtosis-1.284816227
Mean2012946329
Median Absolute Deviation (MAD)1002285
Skewness0.0463516061
Sum4.79090687 × 1015
Variance1.984033372 × 1012
MonotonicityNot monotonic
2025-05-13T08:52:26.530789image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2013000251 53
 
< 0.1%
2013001192 53
 
< 0.1%
2013001179 53
 
< 0.1%
2013001177 53
 
< 0.1%
2013001176 53
 
< 0.1%
2013001170 53
 
< 0.1%
2013001161 53
 
< 0.1%
2013001153 53
 
< 0.1%
2013001149 53
 
< 0.1%
Other values (126971) 2379517
> 99.9%
ValueCountFrequency (%)
2011000001 53
< 0.1%
2011000002 53
< 0.1%
2011000003 53
< 0.1%
2011000004 53
< 0.1%
2011000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

_PSU
Real number (ℝ)

Distinct126981
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012946329
Minimum2011000001
Maximum2015023236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.575045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2011000001
5-th percentile2011002253
Q12012001671
median2013003962
Q32014006239
95-th percentile2015006845
Maximum2015023236
Range4023235
Interquartile range (IQR)2004568

Descriptive statistics

Standard deviation1408557.195
Coefficient of variation (CV)0.0006997490073
Kurtosis-1.284816227
Mean2012946329
Median Absolute Deviation (MAD)1002285
Skewness0.0463516061
Sum4.79090687 × 1015
Variance1.984033372 × 1012
MonotonicityNot monotonic
2025-05-13T08:52:26.619242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2015000001 53
 
< 0.1%
2013000251 53
 
< 0.1%
2013001192 53
 
< 0.1%
2013001179 53
 
< 0.1%
2013001177 53
 
< 0.1%
2013001176 53
 
< 0.1%
2013001170 53
 
< 0.1%
2013001161 53
 
< 0.1%
2013001153 53
 
< 0.1%
2013001149 53
 
< 0.1%
Other values (126971) 2379517
> 99.9%
ValueCountFrequency (%)
2011000001 53
< 0.1%
2011000002 53
< 0.1%
2011000003 53
< 0.1%
2011000004 53
< 0.1%
2011000005 53
< 0.1%
ValueCountFrequency (%)
2015023236 1
< 0.1%
2015023235 1
< 0.1%
2015023234 1
< 0.1%
2015023233 1
< 0.1%
2015023232 1
< 0.1%

CTELENUM
Real number (ℝ)

Missing  Skewed 

Distinct3
Distinct (%)< 0.1%
Missing186872
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.000141348
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.654234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02974126358
Coefficient of variation (CV)0.02973706032
Kurtosis45914.51614
Mean1.000141348
Median Absolute Deviation (MAD)0
Skewness212.8228879
Sum2193485
Variance0.0008845427596
MonotonicityNot monotonic
2025-05-13T08:52:26.683117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2193125
92.1%
7 45
 
< 0.1%
9 5
 
< 0.1%
(Missing) 186872
 
7.9%
ValueCountFrequency (%)
1 2193125
92.1%
7 45
 
< 0.1%
9 5
 
< 0.1%
ValueCountFrequency (%)
9 5
 
< 0.1%
7 45
 
< 0.1%
1 2193125
92.1%

GENHLTH
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing20
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.592067653
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.712371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.142224102
Coefficient of variation (CV)0.4406613774
Kurtosis1.140201227
Mean2.592067653
Median Absolute Deviation (MAD)1
Skewness0.6706876852
Sum6169191
Variance1.3046759
MonotonicityNot monotonic
2025-05-13T08:52:26.744268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 768711
32.3%
3 731120
30.7%
1 416221
17.5%
4 322341
13.5%
5 133160
 
5.6%
7 4621
 
0.2%
9 3853
 
0.2%
(Missing) 20
 
< 0.1%
ValueCountFrequency (%)
1 416221
17.5%
2 768711
32.3%
3 731120
30.7%
4 322341
13.5%
5 133160
 
5.6%
ValueCountFrequency (%)
9 3853
 
0.2%
7 4621
 
0.2%
5 133160
 
5.6%
4 322341
13.5%
3 731120
30.7%

PHYSHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing17
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.66664328
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.780362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)73

Descriptive statistics

Standard deviation37.02502201
Coefficient of variation (CV)0.610302796
Kurtosis-1.421750734
Mean60.66664328
Median Absolute Deviation (MAD)0
Skewness-0.6841247223
Sum144388431
Variance1370.852255
MonotonicityNot monotonic
2025-05-13T08:52:26.818284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 1477208
62.1%
30 185741
 
7.8%
2 129606
 
5.4%
1 99349
 
4.2%
3 75798
 
3.2%
5 67889
 
2.9%
10 49803
 
2.1%
15 46113
 
1.9%
7 42746
 
1.8%
77 42104
 
1.8%
Other values (23) 163673
 
6.9%
ValueCountFrequency (%)
1 99349
4.2%
2 129606
5.4%
3 75798
3.2%
4 39846
 
1.7%
5 67889
2.9%
ValueCountFrequency (%)
99 10962
 
0.5%
88 1477208
62.1%
77 42104
 
1.8%
30 185741
 
7.8%
29 2125
 
0.1%

MENTHLTH
Real number (ℝ)

Distinct33
Distinct (%)< 0.1%
Missing10
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.46804062
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.855331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q128
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.89050884
Coefficient of variation (CV)0.5567178481
Kurtosis-1.055534867
Mean64.46804062
Median Absolute Deviation (MAD)0
Skewness-0.9220966948
Sum153436322
Variance1288.128625
MonotonicityNot monotonic
2025-05-13T08:52:26.891879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
88 1614153
67.8%
30 124073
 
5.2%
2 115201
 
4.8%
5 80082
 
3.4%
1 73903
 
3.1%
3 66333
 
2.8%
10 58016
 
2.4%
15 53566
 
2.3%
4 32978
 
1.4%
20 32286
 
1.4%
Other values (23) 129446
 
5.4%
ValueCountFrequency (%)
1 73903
3.1%
2 115201
4.8%
3 66333
2.8%
4 32978
 
1.4%
5 80082
3.4%
ValueCountFrequency (%)
99 11322
 
0.5%
88 1614153
67.8%
77 30456
 
1.3%
30 124073
 
5.2%
29 1931
 
0.1%

HLTHPLN1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.125397629
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.922575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5125136888
Coefficient of variation (CV)0.4554067608
Kurtosis124.1108275
Mean1.125397629
Median Absolute Deviation (MAD)0
Skewness9.491061128
Sum2678497
Variance0.2626702812
MonotonicityNot monotonic
2025-05-13T08:52:26.952230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2133253
89.6%
2 238008
 
10.0%
7 4914
 
0.2%
9 3870
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
1 2133253
89.6%
2 238008
 
10.0%
7 4914
 
0.2%
9 3870
 
0.2%
ValueCountFrequency (%)
9 3870
 
0.2%
7 4914
 
0.2%
2 238008
 
10.0%
1 2133253
89.6%

PERSDOC2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.405565861
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:26.981337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8264499396
Coefficient of variation (CV)0.5879837882
Kurtosis13.04150928
Mean1.405565861
Median Absolute Deviation (MAD)0
Skewness2.727408761
Sum3345310
Variance0.6830195026
MonotonicityNot monotonic
2025-05-13T08:52:27.011984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1821256
76.5%
3 357043
 
15.0%
2 193035
 
8.1%
7 5772
 
0.2%
9 2939
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
1 1821256
76.5%
2 193035
 
8.1%
3 357043
 
15.0%
7 5772
 
0.2%
9 2939
 
0.1%
ValueCountFrequency (%)
9 2939
 
0.1%
7 5772
 
0.2%
3 357043
 
15.0%
2 193035
 
8.1%
1 1821256
76.5%

MEDCOST
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.898105202
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.040956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4300055301
Coefficient of variation (CV)0.2265446244
Kurtosis82.09403733
Mean1.898105202
Median Absolute Deviation (MAD)0
Skewness4.938871022
Sum4517572
Variance0.1849047559
MonotonicityNot monotonic
2025-05-13T08:52:27.070814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2097387
88.1%
1 276415
 
11.6%
7 4893
 
0.2%
9 1348
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 276415
 
11.6%
2 2097387
88.1%
7 4893
 
0.2%
9 1348
 
0.1%
ValueCountFrequency (%)
9 1348
 
0.1%
7 4893
 
0.2%
2 2097387
88.1%
1 276415
 
11.6%

CHECKUP1
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.601442495
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.100049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263830984
Coefficient of variation (CV)0.7891828701
Kurtosis9.552393295
Mean1.601442495
Median Absolute Deviation (MAD)0
Skewness2.863251301
Sum3811502
Variance1.597268757
MonotonicityNot monotonic
2025-05-13T08:52:27.130634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1726136
72.5%
2 278050
 
11.7%
3 162842
 
6.8%
4 159453
 
6.7%
7 28497
 
1.2%
8 22136
 
0.9%
9 2929
 
0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 1726136
72.5%
2 278050
 
11.7%
3 162842
 
6.8%
4 159453
 
6.7%
7 28497
 
1.2%
ValueCountFrequency (%)
9 2929
 
0.1%
8 22136
 
0.9%
7 28497
 
1.2%
4 159453
6.7%
3 162842
6.8%

CVDINFR4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.965998948
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.159408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4381532308
Coefficient of variation (CV)0.2228654452
Kurtosis106.7658136
Mean1.965998948
Median Absolute Deviation (MAD)0
Skewness8.022409188
Sum4679164
Variance0.1919782537
MonotonicityNot monotonic
2025-05-13T08:52:27.189564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2226952
93.6%
1 141437
 
5.9%
7 10536
 
0.4%
9 1119
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 141437
 
5.9%
2 2226952
93.6%
7 10536
 
0.4%
9 1119
 
< 0.1%
ValueCountFrequency (%)
9 1119
 
< 0.1%
7 10536
 
0.4%
2 2226952
93.6%
1 141437
 
5.9%

CVDCRHD4
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.984758278
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.219395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5384977713
Coefficient of variation (CV)0.2713165514
Kurtosis74.26914448
Mean1.984758278
Median Absolute Deviation (MAD)0
Skewness7.40219873
Sum4723816
Variance0.2899798497
MonotonicityNot monotonic
2025-05-13T08:52:27.248634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2216824
93.1%
1 142475
 
6.0%
7 19515
 
0.8%
9 1232
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
1 142475
 
6.0%
2 2216824
93.1%
7 19515
 
0.8%
9 1232
 
0.1%
ValueCountFrequency (%)
9 1232
 
0.1%
7 19515
 
0.8%
2 2216824
93.1%
1 142475
 
6.0%

CVDSTRK3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.97399169
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.277338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3469588902
Coefficient of variation (CV)0.175765122
Kurtosis169.7586451
Mean1.97399169
Median Absolute Deviation (MAD)0
Skewness9.663014477
Sum4698193
Variance0.1203804715
MonotonicityNot monotonic
2025-05-13T08:52:27.307428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2275622
95.6%
1 97621
 
4.1%
7 5954
 
0.3%
9 850
 
< 0.1%
ValueCountFrequency (%)
1 97621
 
4.1%
2 2275622
95.6%
7 5954
 
0.3%
9 850
 
< 0.1%
ValueCountFrequency (%)
9 850
 
< 0.1%
7 5954
 
0.3%
2 2275622
95.6%
1 97621
 
4.1%

ASTHMA3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.884731688
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.336014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4545712381
Coefficient of variation (CV)0.241186181
Kurtosis65.39212872
Mean1.884731688
Median Absolute Deviation (MAD)0
Skewness4.424833235
Sum4485750
Variance0.2066350105
MonotonicityNot monotonic
2025-05-13T08:52:27.366090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2058559
86.5%
1 313909
 
13.2%
7 6744
 
0.3%
9 835
 
< 0.1%
ValueCountFrequency (%)
1 313909
 
13.2%
2 2058559
86.5%
7 6744
 
0.3%
9 835
 
< 0.1%
ValueCountFrequency (%)
9 835
 
< 0.1%
7 6744
 
0.3%
2 2058559
86.5%
1 313909
 
13.2%

CHCSCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1134
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.92397368
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.394979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40104531
Coefficient of variation (CV)0.2084463598
Kurtosis95.02637428
Mean1.92397368
Median Absolute Deviation (MAD)0
Skewness5.651857562
Sum4576966
Variance0.1608373407
MonotonicityNot monotonic
2025-05-13T08:52:27.424367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2157745
90.7%
1 214741
 
9.0%
7 5554
 
0.2%
9 873
 
< 0.1%
(Missing) 1134
 
< 0.1%
ValueCountFrequency (%)
1 214741
 
9.0%
2 2157745
90.7%
7 5554
 
0.2%
9 873
 
< 0.1%
ValueCountFrequency (%)
9 873
 
< 0.1%
7 5554
 
0.2%
2 2157745
90.7%
1 214741
 
9.0%

CHCOCNCR
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1128
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.918146015
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.453730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3995384866
Coefficient of variation (CV)0.2082940941
Kurtosis97.42460162
Mean1.918146015
Median Absolute Deviation (MAD)0
Skewness5.486114766
Sum4563114
Variance0.1596310023
MonotonicityNot monotonic
2025-05-13T08:52:27.482975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2147679
90.2%
1 225537
 
9.5%
7 4554
 
0.2%
9 1149
 
< 0.1%
(Missing) 1128
 
< 0.1%
ValueCountFrequency (%)
1 225537
 
9.5%
2 2147679
90.2%
7 4554
 
0.2%
9 1149
 
< 0.1%
ValueCountFrequency (%)
9 1149
 
< 0.1%
7 4554
 
0.2%
2 2147679
90.2%
1 225537
 
9.5%

CHCCOPD1
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing506480
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.946249587
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.512782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4711757901
Coefficient of variation (CV)0.2420942274
Kurtosis85.22746086
Mean1.946249587
Median Absolute Deviation (MAD)0
Skewness6.852698604
Sum3646429
Variance0.2220066252
MonotonicityNot monotonic
2025-05-13T08:52:27.543513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1711410
71.9%
1 152194
 
6.4%
7 9126
 
0.4%
9 837
 
< 0.1%
(Missing) 506480
 
21.3%
ValueCountFrequency (%)
1 152194
 
6.4%
2 1711410
71.9%
7 9126
 
0.4%
9 837
 
< 0.1%
ValueCountFrequency (%)
9 837
 
< 0.1%
7 9126
 
0.4%
2 1711410
71.9%
1 152194
 
6.4%

HAVARTH3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1132
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.69145724
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.573430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6345490095
Coefficient of variation (CV)0.3751493059
Kurtosis32.64596538
Mean1.69145724
Median Absolute Deviation (MAD)0
Skewness3.548696409
Sum4023833
Variance0.4026524455
MonotonicityNot monotonic
2025-05-13T08:52:27.604114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%
7 12794
 
0.5%
9 1188
 
< 0.1%
(Missing) 1132
 
< 0.1%
ValueCountFrequency (%)
1 806283
33.9%
2 1558650
65.5%
7 12794
 
0.5%
9 1188
 
< 0.1%
ValueCountFrequency (%)
9 1188
 
< 0.1%
7 12794
 
0.5%
2 1558650
65.5%
1 806283
33.9%

ADDEPEV2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1138
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.837593199
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.633264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5506375474
Coefficient of variation (CV)0.2996514939
Kurtosis56.64157031
Mean1.837593199
Median Absolute Deviation (MAD)0
Skewness4.678644687
Sum4371467
Variance0.3032017086
MonotonicityNot monotonic
2025-05-13T08:52:27.663526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1921370
80.7%
1 446544
 
18.8%
7 8386
 
0.4%
9 2609
 
0.1%
(Missing) 1138
 
< 0.1%
ValueCountFrequency (%)
1 446544
 
18.8%
2 1921370
80.7%
7 8386
 
0.4%
9 2609
 
0.1%
ValueCountFrequency (%)
9 2609
 
0.1%
7 8386
 
0.4%
2 1921370
80.7%
1 446544
 
18.8%

CHCKIDNY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1132
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.984751872
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.692592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3607824407
Coefficient of variation (CV)0.1817771006
Kurtosis177.0620975
Mean1.984751872
Median Absolute Deviation (MAD)0
Skewness10.74608299
Sum4721556
Variance0.1301639695
MonotonicityNot monotonic
2025-05-13T08:52:27.722155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2291481
96.3%
1 79285
 
3.3%
7 7016
 
0.3%
9 1133
 
< 0.1%
(Missing) 1132
 
< 0.1%
ValueCountFrequency (%)
1 79285
 
3.3%
2 2291481
96.3%
7 7016
 
0.3%
9 1133
 
< 0.1%
ValueCountFrequency (%)
9 1133
 
< 0.1%
7 7016
 
0.3%
2 2291481
96.3%
1 79285
 
3.3%

DIABETE3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing1142
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.760990456
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.847606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7180101309
Coefficient of variation (CV)0.2600552745
Kurtosis6.120750987
Mean2.760990456
Median Absolute Deviation (MAD)0
Skewness-1.192025619
Sum6568134
Variance0.5155385481
MonotonicityNot monotonic
2025-05-13T08:52:27.877730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2010686
84.5%
1 302943
 
12.7%
4 39868
 
1.7%
2 21317
 
0.9%
7 2896
 
0.1%
9 1195
 
0.1%
(Missing) 1142
 
< 0.1%
ValueCountFrequency (%)
1 302943
 
12.7%
2 21317
 
0.9%
3 2010686
84.5%
4 39868
 
1.7%
7 2896
 
0.1%
ValueCountFrequency (%)
9 1195
 
0.1%
7 2896
 
0.1%
4 39868
 
1.7%
3 2010686
84.5%
2 21317
 
0.9%

SEX
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.591717306
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.908678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49151606
Coefficient of variation (CV)0.308796077
Kurtosis-1.860721845
Mean1.591717306
Median Absolute Deviation (MAD)0
Skewness-0.3732019804
Sum3788362
Variance0.2415880372
MonotonicityNot monotonic
2025-05-13T08:52:27.938524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1408315
59.2%
1 971732
40.8%
ValueCountFrequency (%)
1 971732
40.8%
2 1408315
59.2%
ValueCountFrequency (%)
2 1408315
59.2%
1 971732
40.8%

MARITAL
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing2013
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean2.242935551
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:27.966568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.653797105
Coefficient of variation (CV)0.7373359901
Kurtosis0.7050698066
Mean2.242935551
Median Absolute Deviation (MAD)0
Skewness1.217431182
Sum5333777
Variance2.735044865
MonotonicityNot monotonic
2025-05-13T08:52:27.998957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1249847
52.5%
5 353113
 
14.8%
2 330608
 
13.9%
3 317150
 
13.3%
6 62970
 
2.6%
4 50247
 
2.1%
9 14099
 
0.6%
(Missing) 2013
 
0.1%
ValueCountFrequency (%)
1 1249847
52.5%
2 330608
 
13.9%
3 317150
 
13.3%
4 50247
 
2.1%
5 353113
 
14.8%
ValueCountFrequency (%)
9 14099
 
0.6%
6 62970
 
2.6%
5 353113
14.8%
4 50247
 
2.1%
3 317150
13.3%

EDUCA
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing3090
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean4.876665838
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.028986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.084552317
Coefficient of variation (CV)0.222396275
Kurtosis0.3657217514
Mean4.876665838
Median Absolute Deviation (MAD)1
Skewness-0.4291841392
Sum11591625
Variance1.176253728
MonotonicityNot monotonic
2025-05-13T08:52:28.059241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 834954
35.1%
4 686393
28.8%
5 644869
27.1%
3 133735
 
5.6%
2 65189
 
2.7%
9 8573
 
0.4%
1 3244
 
0.1%
(Missing) 3090
 
0.1%
ValueCountFrequency (%)
1 3244
 
0.1%
2 65189
 
2.7%
3 133735
 
5.6%
4 686393
28.8%
5 644869
27.1%
ValueCountFrequency (%)
9 8573
 
0.4%
6 834954
35.1%
5 644869
27.1%
4 686393
28.8%
3 133735
 
5.6%

RENTHOM1
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing16922
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1.38592584
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.088034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9350819211
Coefficient of variation (CV)0.6746983816
Kurtosis39.11127114
Mean1.38592584
Median Absolute Deviation (MAD)0
Skewness5.440794137
Sum3275116
Variance0.8743781992
MonotonicityNot monotonic
2025-05-13T08:52:28.118244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1718712
72.2%
2 520101
 
21.9%
3 99110
 
4.2%
9 21229
 
0.9%
7 3973
 
0.2%
(Missing) 16922
 
0.7%
ValueCountFrequency (%)
1 1718712
72.2%
2 520101
 
21.9%
3 99110
 
4.2%
7 3973
 
0.2%
9 21229
 
0.9%
ValueCountFrequency (%)
9 21229
 
0.9%
7 3973
 
0.2%
3 99110
 
4.2%
2 520101
 
21.9%
1 1718712
72.2%

VETERAN3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing1156
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.878233177
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.146835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.398311514
Coefficient of variation (CV)0.2120671272
Kurtosis86.27750713
Mean1.878233177
Median Absolute Deviation (MAD)0
Skewness3.646557845
Sum4468112
Variance0.1586520622
MonotonicityNot monotonic
2025-05-13T08:52:28.175775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2070435
87.0%
1 305931
 
12.9%
9 1818
 
0.1%
7 707
 
< 0.1%
(Missing) 1156
 
< 0.1%
ValueCountFrequency (%)
1 305931
 
12.9%
2 2070435
87.0%
7 707
 
< 0.1%
9 1818
 
0.1%
ValueCountFrequency (%)
9 1818
 
0.1%
7 707
 
< 0.1%
2 2070435
87.0%
1 305931
 
12.9%

CHILDREN
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing2862
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.27285466
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.211484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median88
Q388
95-th percentile88
Maximum99
Range98
Interquartile range (IQR)84

Descriptive statistics

Standard deviation38.00250497
Coefficient of variation (CV)0.5822099427
Kurtosis-0.8598041918
Mean65.27285466
Median Absolute Deviation (MAD)0
Skewness-1.066182037
Sum155165651
Variance1444.190384
MonotonicityNot monotonic
2025-05-13T08:52:28.248556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
88 1737459
73.0%
1 255767
 
10.7%
2 226890
 
9.5%
3 96495
 
4.1%
4 33559
 
1.4%
99 10521
 
0.4%
5 10414
 
0.4%
6 3780
 
0.2%
7 1235
 
0.1%
8 564
 
< 0.1%
Other values (26) 501
 
< 0.1%
(Missing) 2862
 
0.1%
ValueCountFrequency (%)
1 255767
10.7%
2 226890
9.5%
3 96495
 
4.1%
4 33559
 
1.4%
5 10414
 
0.4%
ValueCountFrequency (%)
99 10521
 
0.4%
88 1737459
73.0%
87 1
 
< 0.1%
85 2
 
< 0.1%
80 1
 
< 0.1%

INCOME2
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing10157
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean17.93715531
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.279718image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q38
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.79273856
Coefficient of variation (CV)1.66095114
Kurtosis2.339992959
Mean17.93715531
Median Absolute Deviation (MAD)1
Skewness2.038437311
Sum42509085
Variance887.6072707
MonotonicityNot monotonic
2025-05-13T08:52:28.309903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 574452
24.1%
7 317063
13.3%
6 295327
12.4%
5 231510
9.7%
4 195739
 
8.2%
99 181403
 
7.6%
77 171052
 
7.2%
3 162003
 
6.8%
2 124309
 
5.2%
1 117032
 
4.9%
(Missing) 10157
 
0.4%
ValueCountFrequency (%)
1 117032
4.9%
2 124309
5.2%
3 162003
6.8%
4 195739
8.2%
5 231510
9.7%
ValueCountFrequency (%)
99 181403
 
7.6%
77 171052
 
7.2%
8 574452
24.1%
7 317063
13.3%
6 295327
12.4%

WEIGHT2
Real number (ℝ)

Distinct696
Distinct (%)< 0.1%
Missing13653
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean590.885443
Minimum50
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.345414image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile118
Q1145
median175
Q3205
95-th percentile345
Maximum9999
Range9949
Interquartile range (IQR)60

Descriptive statistics

Standard deviation1907.056176
Coefficient of variation (CV)3.227454998
Kurtosis17.95371336
Mean590.885443
Median Absolute Deviation (MAD)30
Skewness4.437891686
Sum1398267767
Variance3636863.26
MonotonicityNot monotonic
2025-05-13T08:52:28.385766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200 109510
 
4.6%
180 108897
 
4.6%
150 107098
 
4.5%
160 104142
 
4.4%
170 91117
 
3.8%
140 82170
 
3.5%
190 76350
 
3.2%
9999 69231
 
2.9%
175 64836
 
2.7%
130 64224
 
2.7%
Other values (686) 1488819
62.6%
ValueCountFrequency (%)
50 68
< 0.1%
51 6
 
< 0.1%
52 6
 
< 0.1%
53 8
 
< 0.1%
54 3
 
< 0.1%
ValueCountFrequency (%)
9999 69231
2.9%
9501 1
 
< 0.1%
9325 1
 
< 0.1%
9320 1
 
< 0.1%
9300 2
 
< 0.1%

HEIGHT3
Real number (ℝ)

Distinct219
Distinct (%)< 0.1%
Missing14997
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean669.6640536
Minimum200
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.425423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile500
Q1504
median506
Q3510
95-th percentile602
Maximum9999
Range9799
Interquartile range (IQR)6

Descriptive statistics

Standard deviation1130.149319
Coefficient of variation (CV)1.687636231
Kurtosis53.21344593
Mean669.6640536
Median Absolute Deviation (MAD)3
Skewness7.377186393
Sum1583788970
Variance1277237.484
MonotonicityNot monotonic
2025-05-13T08:52:28.465694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
504 221742
 
9.3%
506 217349
 
9.1%
505 194455
 
8.2%
507 189275
 
8.0%
503 178927
 
7.5%
502 173275
 
7.3%
508 171245
 
7.2%
510 158712
 
6.7%
509 148567
 
6.2%
600 140796
 
5.9%
Other values (209) 570707
24.0%
ValueCountFrequency (%)
200 1
< 0.1%
202 1
< 0.1%
203 1
< 0.1%
204 2
< 0.1%
205 1
< 0.1%
ValueCountFrequency (%)
9999 16945
0.7%
9605 1
 
< 0.1%
9510 2
 
< 0.1%
9509 4
 
< 0.1%
9508 1
 
< 0.1%

QLACTLM2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing60492
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean1.79610227
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.496922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7208346166
Coefficient of variation (CV)0.4013327241
Kurtosis50.72472416
Mean1.79610227
Median Absolute Deviation (MAD)0
Skewness5.422300778
Sum4166158
Variance0.5196025445
MonotonicityNot monotonic
2025-05-13T08:52:28.525762image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1712627
72.0%
1 587908
 
24.7%
9 9928
 
0.4%
7 9092
 
0.4%
(Missing) 60492
 
2.5%
ValueCountFrequency (%)
1 587908
 
24.7%
2 1712627
72.0%
7 9092
 
0.4%
9 9928
 
0.4%
ValueCountFrequency (%)
9 9928
 
0.4%
7 9092
 
0.4%
2 1712627
72.0%
1 587908
 
24.7%

USEEQUIP
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing64638
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean1.910892201
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.554877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5322703314
Coefficient of variation (CV)0.2785454518
Kurtosis106.075619
Mean1.910892201
Median Absolute Deviation (MAD)0
Skewness7.701729974
Sum4424497
Variance0.2833117057
MonotonicityNot monotonic
2025-05-13T08:52:28.583996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 2039658
85.7%
1 266698
 
11.2%
9 7556
 
0.3%
7 1497
 
0.1%
(Missing) 64638
 
2.7%
ValueCountFrequency (%)
1 266698
 
11.2%
2 2039658
85.7%
7 1497
 
0.1%
9 7556
 
0.3%
ValueCountFrequency (%)
9 7556
 
0.3%
7 1497
 
0.1%
2 2039658
85.7%
1 266698
 
11.2%

SMOKE100
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing50567
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.588462232
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.612510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6927182589
Coefficient of variation (CV)0.4360936288
Kurtosis39.56387105
Mean1.588462232
Median Absolute Deviation (MAD)0
Skewness4.312674397
Sum3700291
Variance0.4798585862
MonotonicityNot monotonic
2025-05-13T08:52:28.642268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1275531
53.6%
1 1039679
43.7%
7 9440
 
0.4%
9 4830
 
0.2%
(Missing) 50567
 
2.1%
ValueCountFrequency (%)
1 1039679
43.7%
2 1275531
53.6%
7 9440
 
0.4%
9 4830
 
0.2%
ValueCountFrequency (%)
9 4830
 
0.2%
7 9440
 
0.4%
2 1275531
53.6%
1 1039679
43.7%

USENOW3
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing52607
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean2.967651583
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.671279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4207600506
Coefficient of variation (CV)0.1417821597
Kurtosis113.3564367
Mean2.967651583
Median Absolute Deviation (MAD)0
Skewness5.655293016
Sum6907031
Variance0.1770390202
MonotonicityNot monotonic
2025-05-13T08:52:28.701524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 2248438
94.5%
1 40582
 
1.7%
2 31871
 
1.3%
9 5775
 
0.2%
7 774
 
< 0.1%
(Missing) 52607
 
2.2%
ValueCountFrequency (%)
1 40582
 
1.7%
2 31871
 
1.3%
3 2248438
94.5%
7 774
 
< 0.1%
9 5775
 
0.2%
ValueCountFrequency (%)
9 5775
 
0.2%
7 774
 
< 0.1%
3 2248438
94.5%
2 31871
 
1.3%
1 40582
 
1.7%

ALCDAY5
Real number (ℝ)

Missing 

Distinct47
Distinct (%)< 0.1%
Missing84101
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean534.9579581
Minimum101
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.737879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile102
Q1202
median777
Q3888
95-th percentile888
Maximum999
Range898
Interquartile range (IQR)686

Descriptive statistics

Standard deviation357.2911897
Coefficient of variation (CV)0.667886484
Kurtosis-1.953537388
Mean534.9579581
Median Absolute Deviation (MAD)222
Skewness-0.03721409008
Sum1228234584
Variance127656.9942
MonotonicityNot monotonic
2025-05-13T08:52:28.776004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
888 1124400
47.2%
201 178087
 
7.5%
202 137070
 
5.8%
101 96512
 
4.1%
102 77102
 
3.2%
203 76378
 
3.2%
230 73693
 
3.1%
204 63449
 
2.7%
205 60507
 
2.5%
103 53106
 
2.2%
Other values (37) 355642
 
14.9%
(Missing) 84101
 
3.5%
ValueCountFrequency (%)
101 96512
4.1%
102 77102
3.2%
103 53106
2.2%
104 24437
 
1.0%
105 24360
 
1.0%
ValueCountFrequency (%)
999 16013
 
0.7%
888 1124400
47.2%
777 14943
 
0.6%
260 1
 
< 0.1%
232 1
 
< 0.1%

EXERANY2
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing87497
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean1.294734248
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.805514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6647502558
Coefficient of variation (CV)0.513426023
Kurtosis67.91347868
Mean1.294734248
Median Absolute Deviation (MAD)0
Skewness6.521351668
Sum2968243
Variance0.4418929025
MonotonicityNot monotonic
2025-05-13T08:52:28.835304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 8168
 
0.3%
7 2637
 
0.1%
(Missing) 87497
 
3.7%
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
7 2637
 
0.1%
9 8168
 
0.3%
ValueCountFrequency (%)
9 8168
 
0.3%
7 2637
 
0.1%
2 594527
 
25.0%
1 1687218
70.9%

SEATBELT
Real number (ℝ)

Missing 

Distinct8
Distinct (%)< 0.1%
Missing139316
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean1.306599944
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.864445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9880063781
Coefficient of variation (CV)0.7561659423
Kurtosis27.49812978
Mean1.306599944
Median Absolute Deviation (MAD)0
Skewness4.767460649
Sum2927739
Variance0.9761566032
MonotonicityNot monotonic
2025-05-13T08:52:28.895079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 1913361
80.4%
2 176454
 
7.4%
3 67444
 
2.8%
5 36891
 
1.6%
4 27277
 
1.1%
9 12603
 
0.5%
8 5241
 
0.2%
7 1460
 
0.1%
(Missing) 139316
 
5.9%
ValueCountFrequency (%)
1 1913361
80.4%
2 176454
 
7.4%
3 67444
 
2.8%
4 27277
 
1.1%
5 36891
 
1.6%
ValueCountFrequency (%)
9 12603
 
0.5%
8 5241
 
0.2%
7 1460
 
0.1%
5 36891
1.6%
4 27277
1.1%

PNEUVAC3
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing141691
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean2.109334261
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.923872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.669319223
Coefficient of variation (CV)0.7913962493
Kurtosis5.042525815
Mean2.109334261
Median Absolute Deviation (MAD)0
Skewness2.458080357
Sum4721441
Variance2.786626668
MonotonicityNot monotonic
2025-05-13T08:52:28.953086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1220227
51.3%
1 811708
34.1%
7 194255
 
8.2%
9 12166
 
0.5%
(Missing) 141691
 
6.0%
ValueCountFrequency (%)
1 811708
34.1%
2 1220227
51.3%
7 194255
 
8.2%
9 12166
 
0.5%
ValueCountFrequency (%)
9 12166
 
0.5%
7 194255
 
8.2%
2 1220227
51.3%
1 811708
34.1%

HIVTST6
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing165813
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1.914839172
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:28.982839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.173460805
Coefficient of variation (CV)0.6128247335
Kurtosis17.83060444
Mean1.914839172
Median Absolute Deviation (MAD)0
Skewness3.945001566
Sum4239902
Variance1.377010262
MonotonicityNot monotonic
2025-05-13T08:52:29.012455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 1507994
63.4%
1 625964
26.3%
7 62267
 
2.6%
9 18009
 
0.8%
(Missing) 165813
 
7.0%
ValueCountFrequency (%)
1 625964
26.3%
2 1507994
63.4%
7 62267
 
2.6%
9 18009
 
0.8%
ValueCountFrequency (%)
9 18009
 
0.8%
7 62267
 
2.6%
2 1507994
63.4%
1 625964
26.3%

QSTVER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.44645295
Minimum10
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.042669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median11
Q320
95-th percentile22
Maximum23
Range13
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.477384408
Coefficient of variation (CV)0.3329788477
Kurtosis-0.922797549
Mean13.44645295
Median Absolute Deviation (MAD)1
Skewness0.94453124
Sum32003190
Variance20.04697114
MonotonicityNot monotonic
2025-05-13T08:52:29.075168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10 940014
39.5%
20 424484
17.8%
11 367313
 
15.4%
12 333663
 
14.0%
21 108965
 
4.6%
22 103048
 
4.3%
13 84523
 
3.6%
23 18037
 
0.8%
ValueCountFrequency (%)
10 940014
39.5%
11 367313
 
15.4%
12 333663
 
14.0%
13 84523
 
3.6%
20 424484
17.8%
ValueCountFrequency (%)
23 18037
 
0.8%
22 103048
 
4.3%
21 108965
 
4.6%
20 424484
17.8%
13 84523
 
3.6%

QSTLANG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing10391
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean1.035097499
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.102619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1853743294
Coefficient of variation (CV)0.1790887617
Kurtosis25.92253038
Mean1.035097499
Median Absolute Deviation (MAD)0
Skewness5.177377215
Sum2452825
Variance0.034363642
MonotonicityNot monotonic
2025-05-13T08:52:29.130037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2287067
96.1%
2 82013
 
3.4%
3 575
 
< 0.1%
7 1
 
< 0.1%
(Missing) 10391
 
0.4%
ValueCountFrequency (%)
1 2287067
96.1%
2 82013
 
3.4%
3 575
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
3 575
 
< 0.1%
2 82013
 
3.4%
1 2287067
96.1%

_STSTR
Real number (ℝ)

Distinct2781
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187465.7024
Minimum1011
Maximum722019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.164700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1011
5-th percentile9051
Q132022
median121011
Q3322019
95-th percentile512049
Maximum722019
Range721008
Interquartile range (IQR)289997

Descriptive statistics

Standard deviation179587.0457
Coefficient of variation (CV)0.95797281
Kurtosis-0.6053793417
Mean187465.7024
Median Absolute Deviation (MAD)100969
Skewness0.7701661508
Sum4.461771826 × 1011
Variance3.225150698 × 1010
MonotonicityNot monotonic
2025-05-13T08:52:29.206114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
492019 20079
 
0.8%
41011 16316
 
0.7%
62029 15812
 
0.7%
6021 15362
 
0.6%
241011 14963
 
0.6%
271051 14337
 
0.6%
25071 13885
 
0.6%
561011 12895
 
0.5%
121011 11069
 
0.5%
251071 10666
 
0.4%
Other values (2771) 2234663
93.9%
ValueCountFrequency (%)
1011 823
< 0.1%
1012 98
 
< 0.1%
1021 771
< 0.1%
1022 88
 
< 0.1%
1031 1094
< 0.1%
ValueCountFrequency (%)
722019 7776
0.3%
721081 836
 
< 0.1%
721071 1373
 
0.1%
721061 1432
 
0.1%
721051 326
 
< 0.1%

_STRWT
Real number (ℝ)

Distinct6274
Distinct (%)0.3%
Missing73
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean93.73868934
Minimum0.3147515606
Maximum4830.894309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.247990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3147515606
5-th percentile4.166666667
Q115.53283022
median39.29075809
Q386.5793298
95-th percentile381.7359137
Maximum4830.894309
Range4830.579557
Interquartile range (IQR)71.04649958

Descriptive statistics

Standard deviation171.4369964
Coefficient of variation (CV)1.828881945
Kurtosis68.38959969
Mean93.73868934
Median Absolute Deviation (MAD)28.09866413
Skewness5.720411602
Sum223095643.4
Variance29390.64374
MonotonicityNot monotonic
2025-05-13T08:52:29.289033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.45613287 8596
 
0.4%
67.38942221 8322
 
0.3%
382.9339189 7627
 
0.3%
35.72836499 7251
 
0.3%
78.21670413 7227
 
0.3%
35.58347882 7182
 
0.3%
82.77541456 6766
 
0.3%
39.29075809 6703
 
0.3%
76.26257503 6218
 
0.3%
13.08179517 5812
 
0.2%
Other values (6264) 2308270
97.0%
ValueCountFrequency (%)
0.3147515606 307
< 0.1%
0.3840522785 465
< 0.1%
0.4723076354 39
 
< 0.1%
0.4764897299 361
< 0.1%
0.5761278647 31
 
< 0.1%
ValueCountFrequency (%)
4830.894309 173
 
< 0.1%
2034.635166 1383
0.1%
1866.938402 379
 
< 0.1%
1603.286561 616
< 0.1%
1534.720286 700
< 0.1%

_RAWRAKE
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.568905712
Minimum0.3333333333
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.320629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3333333333
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4.666666667
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.749203647
Coefficient of variation (CV)0.4775326147
Kurtosis2.777658597
Mean1.568905712
Median Absolute Deviation (MAD)0
Skewness1.478830412
Sum3734069.333
Variance0.5613061047
MonotonicityNot monotonic
2025-05-13T08:52:29.350543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 1289934
54.2%
2 861689
36.2%
3 149841
 
6.3%
4 46909
 
2.0%
5 13600
 
0.6%
0.5 8209
 
0.3%
1.5 4806
 
0.2%
0.6666666667 3109
 
0.1%
0.3333333333 1077
 
< 0.1%
2.5 563
 
< 0.1%
Other values (2) 310
 
< 0.1%
ValueCountFrequency (%)
0.3333333333 1077
 
< 0.1%
0.5 8209
 
0.3%
0.6666666667 3109
 
0.1%
1 1289934
54.2%
1.333333333 213
 
< 0.1%
ValueCountFrequency (%)
5 13600
 
0.6%
4 46909
 
2.0%
3 149841
 
6.3%
2.5 563
 
< 0.1%
2 861689
36.2%

_WT2RAKE
Real number (ℝ)

Distinct32805
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.7649546
Minimum0.05505740412
Maximum4830.894309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.386613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.05505740412
5-th percentile5.939434484
Q123.30497565
median57.21200369
Q3130.6360757
95-th percentile432.7436731
Maximum4830.894309
Range4830.839252
Interquartile range (IQR)107.3311

Descriptive statistics

Standard deviation179.3733598
Coefficient of variation (CV)1.53619175
Kurtosis55.74036739
Mean116.7649546
Median Absolute Deviation (MAD)40.30594654
Skewness5.013468969
Sum277906079.8
Variance32174.80222
MonotonicityNot monotonic
2025-05-13T08:52:29.427649image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.38942221 8322
 
0.3%
382.9339189 7627
 
0.3%
35.72836499 7251
 
0.3%
78.21670413 7227
 
0.3%
125.917713 5086
 
0.2%
45.66437517 5034
 
0.2%
86.36783978 4530
 
0.2%
158.9122657 4243
 
0.2%
668.8070668 4209
 
0.2%
61.62551881 4095
 
0.2%
Other values (32795) 2322423
97.6%
ValueCountFrequency (%)
0.05505740412 5
 
< 0.1%
0.07340987216 1
 
< 0.1%
0.08255959067 3
 
< 0.1%
0.1101148082 489
< 0.1%
0.1573757803 2
 
< 0.1%
ValueCountFrequency (%)
4830.894309 173
< 0.1%
3191.946865 1
 
< 0.1%
2716.799507 1
 
< 0.1%
2553.557492 1
 
< 0.1%
2483.240678 1
 
< 0.1%

_DUALUSE
Real number (ℝ)

Missing 

Distinct5
Distinct (%)< 0.1%
Missing506467
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean6.122129826
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.458995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median9
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.750556865
Coefficient of variation (CV)0.6126228897
Kurtosis-1.681600816
Mean6.122129826
Median Absolute Deviation (MAD)0
Skewness-0.5464321753
Sum11470300
Variance14.0666768
MonotonicityNot monotonic
2025-05-13T08:52:29.489865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
9 1176820
49.4%
1 520526
21.9%
2 170400
 
7.2%
3 5742
 
0.2%
4 92
 
< 0.1%
(Missing) 506467
21.3%
ValueCountFrequency (%)
1 520526
21.9%
2 170400
 
7.2%
3 5742
 
0.2%
4 92
 
< 0.1%
9 1176820
49.4%
ValueCountFrequency (%)
9 1176820
49.4%
4 92
 
< 0.1%
3 5742
 
0.2%
2 170400
 
7.2%
1 520526
21.9%

_LLCPWT
Real number (ℝ)

Distinct1374380
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.5037222
Minimum0.7635677738
Maximum36700.68429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.527594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.7635677738
5-th percentile22.41566594
Q181.8912137
median212.6466351
Q3546.7651499
95-th percentile1991.829556
Maximum36700.68429
Range36699.92072
Interquartile range (IQR)464.8739362

Descriptive statistics

Standard deviation943.7527836
Coefficient of variation (CV)1.830739028
Kurtosis74.18412693
Mean515.5037222
Median Absolute Deviation (MAD)161.2000452
Skewness6.3015348
Sum1226923088
Variance890669.3166
MonotonicityNot monotonic
2025-05-13T08:52:29.663197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.58671688 549
 
< 0.1%
26.38585184 388
 
< 0.1%
20.09146622 300
 
< 0.1%
326.1516714 214
 
< 0.1%
12.37788713 206
 
< 0.1%
28.3246037 196
 
< 0.1%
195.3120256 192
 
< 0.1%
238.8644474 181
 
< 0.1%
403.1265171 178
 
< 0.1%
230.376878 173
 
< 0.1%
Other values (1374370) 2377470
99.9%
ValueCountFrequency (%)
0.7635677738 1
< 0.1%
0.8043249035 1
< 0.1%
0.8618153268 1
< 0.1%
0.8639742289 1
< 0.1%
0.8653927542 1
< 0.1%
ValueCountFrequency (%)
36700.68429 1
< 0.1%
35806.76161 1
< 0.1%
34798.62753 1
< 0.1%
33134.93962 1
< 0.1%
32864.17599 1
< 0.1%

_RFHLTH
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.219933892
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.695293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6094407338
Coefficient of variation (CV)0.4995686552
Kurtosis92.3113893
Mean1.219933892
Median Absolute Deviation (MAD)0
Skewness7.788261149
Sum2903500
Variance0.3714180081
MonotonicityNot monotonic
2025-05-13T08:52:29.724556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1916052
80.5%
2 455501
 
19.1%
9 8494
 
0.4%
ValueCountFrequency (%)
1 1916052
80.5%
2 455501
 
19.1%
9 8494
 
0.4%
ValueCountFrequency (%)
9 8494
 
0.4%
2 455501
 
19.1%
1 1916052
80.5%

_HCVU651
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.839691401
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.752714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q39
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.74082563
Coefficient of variation (CV)0.9742516363
Kurtosis-1.565028606
Mean3.839691401
Median Absolute Deviation (MAD)0
Skewness0.6435410244
Sum9138646
Variance13.9937764
MonotonicityNot monotonic
2025-05-13T08:52:29.783504image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1338894
56.3%
9 816778
34.3%
2 224375
 
9.4%
ValueCountFrequency (%)
1 1338894
56.3%
2 224375
 
9.4%
9 816778
34.3%
ValueCountFrequency (%)
9 816778
34.3%
2 224375
 
9.4%
1 1338894
56.3%

_LTASTH1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.15736706
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.812486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5576098004
Coefficient of variation (CV)0.4817916627
Kurtosis122.3034724
Mean1.15736706
Median Absolute Deviation (MAD)0
Skewness9.295444826
Sum2754588
Variance0.3109286895
MonotonicityNot monotonic
2025-05-13T08:52:29.841720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2058559
86.5%
2 313909
 
13.2%
9 7579
 
0.3%
ValueCountFrequency (%)
1 2058559
86.5%
2 313909
 
13.2%
9 7579
 
0.3%
ValueCountFrequency (%)
9 7579
 
0.3%
2 313909
 
13.2%
1 2058559
86.5%

_CASTHM1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146272322
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.869926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7145866162
Coefficient of variation (CV)0.6234003934
Kurtosis97.69771161
Mean1.146272322
Median Absolute Deviation (MAD)0
Skewness9.292842117
Sum2728182
Variance0.510634032
MonotonicityNot monotonic
2025-05-13T08:52:29.899016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2146677
90.2%
2 216975
 
9.1%
9 16395
 
0.7%
ValueCountFrequency (%)
1 2146677
90.2%
2 216975
 
9.1%
9 16395
 
0.7%
ValueCountFrequency (%)
9 16395
 
0.7%
2 216975
 
9.1%
1 2146677
90.2%

_ASTHMS1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821979146
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.928329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q33
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7861143921
Coefficient of variation (CV)0.2785684626
Kurtosis25.9544907
Mean2.821979146
Median Absolute Deviation (MAD)0
Skewness2.176337115
Sum6716443
Variance0.6179758375
MonotonicityNot monotonic
2025-05-13T08:52:29.957428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 2058559
86.5%
1 216975
 
9.1%
2 88118
 
3.7%
9 16395
 
0.7%
ValueCountFrequency (%)
1 216975
 
9.1%
2 88118
 
3.7%
3 2058559
86.5%
9 16395
 
0.7%
ValueCountFrequency (%)
9 16395
 
0.7%
3 2058559
86.5%
2 88118
 
3.7%
1 216975
 
9.1%

_DRDXAR1
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing15114
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.659067297
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:29.987281image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4740228792
Coefficient of variation (CV)0.2857164866
Kurtosis-1.549574824
Mean1.659067297
Median Absolute Deviation (MAD)0
Skewness-0.6711382026
Sum3923583
Variance0.22469769
MonotonicityNot monotonic
2025-05-13T08:52:30.017227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%
(Missing) 15114
 
0.6%
ValueCountFrequency (%)
1 806283
33.9%
2 1558650
65.5%
ValueCountFrequency (%)
2 1558650
65.5%
1 806283
33.9%

_AGEG5YR
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.726751615
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.046034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile13
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.46582402
Coefficient of variation (CV)0.4485486518
Kurtosis-0.8506956583
Mean7.726751615
Median Absolute Deviation (MAD)3
Skewness-0.2528563438
Sum18390032
Variance12.01193614
MonotonicityNot monotonic
2025-05-13T08:52:30.078335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
9 265094
11.1%
8 253651
10.7%
10 244839
10.3%
7 227880
9.6%
13 197714
8.3%
11 194934
8.2%
6 176607
7.4%
5 153209
6.4%
12 147893
 
6.2%
4 135622
 
5.7%
Other values (4) 382604
16.1%
ValueCountFrequency (%)
1 123537
5.2%
2 106025
4.5%
3 127654
5.4%
4 135622
5.7%
5 153209
6.4%
ValueCountFrequency (%)
14 25388
 
1.1%
13 197714
8.3%
12 147893
6.2%
11 194934
8.2%
10 244839
10.3%

_AGE65YR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.351319113
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.107521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4992275342
Coefficient of variation (CV)0.3694371889
Kurtosis-0.6288416942
Mean1.351319113
Median Absolute Deviation (MAD)0
Skewness0.8783369257
Sum3216203
Variance0.2492281309
MonotonicityNot monotonic
2025-05-13T08:52:30.139036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1569279
65.9%
2 785380
33.0%
3 25388
 
1.1%
ValueCountFrequency (%)
1 1569279
65.9%
2 785380
33.0%
3 25388
 
1.1%
ValueCountFrequency (%)
3 25388
 
1.1%
2 785380
33.0%
1 1569279
65.9%

_AGE_G
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.411198602
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.169919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.536396917
Coefficient of variation (CV)0.3482946599
Kurtosis-0.671587814
Mean4.411198602
Median Absolute Deviation (MAD)1
Skewness-0.6680749567
Sum10498860
Variance2.360515486
MonotonicityNot monotonic
2025-05-13T08:52:30.199232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 786546
33.0%
5 535435
22.5%
4 409206
17.2%
3 291415
 
12.2%
2 233895
 
9.8%
1 123550
 
5.2%
ValueCountFrequency (%)
1 123550
 
5.2%
2 233895
9.8%
3 291415
12.2%
4 409206
17.2%
5 535435
22.5%
ValueCountFrequency (%)
6 786546
33.0%
5 535435
22.5%
4 409206
17.2%
3 291415
 
12.2%
2 233895
 
9.8%

HTIN4
Real number (ℝ)

Missing 

Distinct59
Distinct (%)< 0.1%
Missing57792
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean66.64169912
Minimum36
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.232255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile60
Q164
median66
Q370
95-th percentile74
Maximum95
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.110266807
Coefficient of variation (CV)0.06167710099
Kurtosis-0.2229989935
Mean66.64169912
Median Absolute Deviation (MAD)3
Skewness0.1855844592
Sum154759019
Variance16.89429323
MonotonicityNot monotonic
2025-05-13T08:52:30.271585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 221742
9.3%
66 217349
9.1%
65 194455
 
8.2%
67 189275
 
8.0%
63 178927
 
7.5%
62 173275
 
7.3%
68 171245
 
7.2%
70 158712
 
6.7%
69 148567
 
6.2%
72 140796
 
5.9%
Other values (49) 527912
22.2%
ValueCountFrequency (%)
36 25
< 0.1%
37 3
 
< 0.1%
38 8
 
< 0.1%
39 6
 
< 0.1%
40 13
< 0.1%
ValueCountFrequency (%)
95 1
 
< 0.1%
93 3
 
< 0.1%
92 8
< 0.1%
91 5
< 0.1%
90 11
< 0.1%

HTM4
Real number (ℝ)

Missing 

Distinct125
Distinct (%)< 0.1%
Missing49314
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean169.2525682
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.310755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile152
Q1163
median168
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.50021989
Coefficient of variation (CV)0.06203876259
Kurtosis-0.06987341181
Mean169.2525682
Median Absolute Deviation (MAD)8
Skewness0.1409873684
Sum394482546
Variance110.2546178
MonotonicityNot monotonic
2025-05-13T08:52:30.349803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163 221958
9.3%
168 217619
9.1%
165 195105
 
8.2%
170 189970
 
8.0%
160 179729
 
7.6%
157 173413
 
7.3%
173 171390
 
7.2%
178 158876
 
6.7%
175 149073
 
6.3%
183 140838
 
5.9%
Other values (115) 532762
22.4%
ValueCountFrequency (%)
91 25
< 0.1%
94 3
 
< 0.1%
97 8
 
< 0.1%
99 7
 
< 0.1%
100 7
 
< 0.1%
ValueCountFrequency (%)
241 1
 
< 0.1%
236 3
 
< 0.1%
234 8
< 0.1%
231 5
< 0.1%
229 11
< 0.1%

WTKG3
Real number (ℝ)

Missing 

Distinct666
Distinct (%)< 0.1%
Missing117954
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8006.899868
Minimum2268
Maximum29030
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.390727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5307
Q16577
median7711
Q39072
95-th percentile11657
Maximum29030
Range26762
Interquartile range (IQR)2495

Descriptive statistics

Standard deviation2034.398454
Coefficient of variation (CV)0.2540806664
Kurtosis3.827539207
Mean8006.899868
Median Absolute Deviation (MAD)1361
Skewness1.201966765
Sum1.811235214 × 1010
Variance4138777.071
MonotonicityNot monotonic
2025-05-13T08:52:30.432101image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 109510
 
4.6%
8165 108897
 
4.6%
6804 107098
 
4.5%
7257 104142
 
4.4%
7711 91117
 
3.8%
6350 82170
 
3.5%
8618 76350
 
3.2%
7938 64836
 
2.7%
5897 64224
 
2.7%
7484 62994
 
2.6%
Other values (656) 1390755
58.4%
(Missing) 117954
 
5.0%
ValueCountFrequency (%)
2268 68
< 0.1%
2313 6
 
< 0.1%
2359 6
 
< 0.1%
2400 1
 
< 0.1%
2404 8
 
< 0.1%
ValueCountFrequency (%)
29030 1
 
< 0.1%
28985 1
 
< 0.1%
28123 1
 
< 0.1%
28000 3
< 0.1%
27714 2
< 0.1%

_BMI5
Real number (ℝ)

Missing 

Distinct4962
Distinct (%)0.2%
Missing146916
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean2782.094939
Minimum1201
Maximum9995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.471925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1201
5-th percentile1997
Q12367
median2663
Q33079
95-th percentile3913
Maximum9995
Range8794
Interquartile range (IQR)712

Descriptive statistics

Standard deviation619.4100224
Coefficient of variation (CV)0.2226415834
Kurtosis6.103194425
Mean2782.094939
Median Absolute Deviation (MAD)346
Skewness1.571075661
Sum6212782453
Variance383668.7758
MonotonicityNot monotonic
2025-05-13T08:52:30.511425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2663 26327
 
1.1%
2746 20810
 
0.9%
2744 20389
 
0.9%
2441 18099
 
0.8%
2712 15845
 
0.7%
2510 15078
 
0.6%
2929 13376
 
0.6%
2575 13331
 
0.6%
2834 13130
 
0.6%
2421 12796
 
0.5%
Other values (4952) 2063950
86.7%
(Missing) 146916
 
6.2%
ValueCountFrequency (%)
1201 1
 
< 0.1%
1202 8
< 0.1%
1203 1
 
< 0.1%
1205 2
 
< 0.1%
1206 1
 
< 0.1%
ValueCountFrequency (%)
9995 1
< 0.1%
9963 1
< 0.1%
9920 1
< 0.1%
9891 1
< 0.1%
9769 1
< 0.1%

_BMI5CAT
Real number (ℝ)

Missing 

Distinct4
Distinct (%)< 0.1%
Missing146916
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean2.920501305
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.541434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8266948615
Coefficient of variation (CV)0.2830660819
Kurtosis-1.150576596
Mean2.920501305
Median Absolute Deviation (MAD)1
Skewness-0.03369800596
Sum6521862
Variance0.6834243941
MonotonicityNot monotonic
2025-05-13T08:52:30.569594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 807889
33.9%
2 743863
31.3%
4 643030
27.0%
1 38349
 
1.6%
(Missing) 146916
 
6.2%
ValueCountFrequency (%)
1 38349
 
1.6%
2 743863
31.3%
3 807889
33.9%
4 643030
27.0%
ValueCountFrequency (%)
4 643030
27.0%
3 807889
33.9%
2 743863
31.3%
1 38349
 
1.6%

_RFBMI5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.103443335
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.596754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.828287817
Coefficient of variation (CV)0.8691880527
Kurtosis9.541474627
Mean2.103443335
Median Absolute Deviation (MAD)0
Skewness3.240834201
Sum5006294
Variance3.34263634
MonotonicityNot monotonic
2025-05-13T08:52:30.626652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1450919
61.0%
1 782212
32.9%
9 146916
 
6.2%
ValueCountFrequency (%)
1 782212
32.9%
2 1450919
61.0%
9 146916
 
6.2%
ValueCountFrequency (%)
9 146916
 
6.2%
2 1450919
61.0%
1 782212
32.9%

_CHLDCNT
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.555788184
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.655567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141709303
Coefficient of variation (CV)0.7338462363
Kurtosis11.06105808
Mean1.555788184
Median Absolute Deviation (MAD)0
Skewness2.867411889
Sum3702849
Variance1.303500133
MonotonicityNot monotonic
2025-05-13T08:52:30.686018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1737459
73.0%
2 255767
 
10.7%
3 226890
 
9.5%
4 96495
 
4.1%
5 33559
 
1.4%
6 16494
 
0.7%
9 13383
 
0.6%
ValueCountFrequency (%)
1 1737459
73.0%
2 255767
 
10.7%
3 226890
 
9.5%
4 96495
 
4.1%
5 33559
 
1.4%
ValueCountFrequency (%)
9 13383
 
0.6%
6 16494
 
0.7%
5 33559
 
1.4%
4 96495
4.1%
3 226890
9.5%

_EDUCAG
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.921933474
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.714833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.072046307
Coefficient of variation (CV)0.3668962063
Kurtosis3.456828598
Mean2.921933474
Median Absolute Deviation (MAD)1
Skewness0.5769847522
Sum6954339
Variance1.149283284
MonotonicityNot monotonic
2025-05-13T08:52:30.745510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 834955
35.1%
2 686393
28.8%
3 644869
27.1%
1 202168
 
8.5%
9 11662
 
0.5%
ValueCountFrequency (%)
1 202168
 
8.5%
2 686393
28.8%
3 644869
27.1%
4 834955
35.1%
9 11662
 
0.5%
ValueCountFrequency (%)
9 11662
 
0.5%
4 834955
35.1%
3 644869
27.1%
2 686393
28.8%
1 202168
 
8.5%

_INCOMG
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.434259492
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.776043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.367698573
Coefficient of variation (CV)0.5339557998
Kurtosis-0.2621127282
Mean4.434259492
Median Absolute Deviation (MAD)2
Skewness0.6024201401
Sum10553746
Variance5.605996535
MonotonicityNot monotonic
2025-05-13T08:52:30.805500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 891515
37.5%
9 362612
15.2%
2 357742
15.0%
4 295327
 
12.4%
1 241341
 
10.1%
3 231510
 
9.7%
ValueCountFrequency (%)
1 241341
 
10.1%
2 357742
15.0%
3 231510
 
9.7%
4 295327
 
12.4%
5 891515
37.5%
ValueCountFrequency (%)
9 362612
15.2%
5 891515
37.5%
4 295327
 
12.4%
3 231510
 
9.7%
2 357742
15.0%

_SMOKER3
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.440099712
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.835284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.354937995
Coefficient of variation (CV)0.3938659073
Kurtosis6.180308776
Mean3.440099712
Median Absolute Deviation (MAD)0
Skewness1.267571822
Sum8187599
Variance1.835856969
MonotonicityNot monotonic
2025-05-13T08:52:30.865061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1275531
53.6%
3 672414
28.3%
1 262829
 
11.0%
2 102579
 
4.3%
9 66694
 
2.8%
ValueCountFrequency (%)
1 262829
 
11.0%
2 102579
 
4.3%
3 672414
28.3%
4 1275531
53.6%
9 66694
 
2.8%
ValueCountFrequency (%)
9 66694
 
2.8%
4 1275531
53.6%
3 672414
28.3%
2 102579
 
4.3%
1 262829
 
11.0%

_RFSMOK3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.377706827
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.893715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.343236665
Coefficient of variation (CV)0.9749800454
Kurtosis26.06812701
Mean1.377706827
Median Absolute Deviation (MAD)0
Skewness5.117436155
Sum3279007
Variance1.804284737
MonotonicityNot monotonic
2025-05-13T08:52:30.923470image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1947945
81.8%
2 365408
 
15.4%
9 66694
 
2.8%
ValueCountFrequency (%)
1 1947945
81.8%
2 365408
 
15.4%
9 66694
 
2.8%
ValueCountFrequency (%)
9 66694
 
2.8%
2 365408
 
15.4%
1 1947945
81.8%

DRNKANY5
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.846619415
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:30.951942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.635193299
Coefficient of variation (CV)0.8855063938
Kurtosis13.05992606
Mean1.846619415
Median Absolute Deviation (MAD)1
Skewness3.652081893
Sum4395041
Variance2.673857126
MonotonicityNot monotonic
2025-05-13T08:52:30.981785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 1140587
47.9%
2 1124400
47.2%
9 100117
 
4.2%
7 14943
 
0.6%
ValueCountFrequency (%)
1 1140587
47.9%
2 1124400
47.2%
7 14943
 
0.6%
9 100117
 
4.2%
ValueCountFrequency (%)
9 100117
 
4.2%
7 14943
 
0.6%
2 1124400
47.2%
1 1140587
47.9%

DROCDY3_
Real number (ℝ)

Distinct36
Distinct (%)< 0.1%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean58.78140232
Minimum5.397605347 × 10-79
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.016503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median3
Q327
95-th percentile100
Maximum900
Range900
Interquartile range (IQR)27

Descriptive statistics

Standard deviation191.4908781
Coefficient of variation (CV)3.257677948
Kurtosis15.00979376
Mean58.78140232
Median Absolute Deviation (MAD)3
Skewness4.080275948
Sum139902030
Variance36668.7564
MonotonicityNot monotonic
2025-05-13T08:52:31.052436image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5.397605347 × 10-791124400
47.2%
3 178087
 
7.5%
7 137070
 
5.8%
100 124386
 
5.2%
900 115057
 
4.8%
14 96512
 
4.1%
29 77102
 
3.2%
10 76378
 
3.2%
13 63449
 
2.7%
17 60507
 
2.5%
Other values (26) 327091
 
13.7%
ValueCountFrequency (%)
5.397605347 × 10-791124400
47.2%
3 178087
 
7.5%
7 137070
 
5.8%
10 76378
 
3.2%
13 63449
 
2.7%
ValueCountFrequency (%)
900 115057
4.8%
100 124386
5.2%
97 1658
 
0.1%
93 4491
 
0.2%
90 1167
 
< 0.1%

_RFBING5
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.569787487
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.080516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.846398197
Coefficient of variation (CV)1.176209017
Kurtosis11.82484829
Mean1.569787487
Median Absolute Deviation (MAD)0
Skewness3.65922727
Sum3736168
Variance3.409186303
MonotonicityNot monotonic
2025-05-13T08:52:31.110143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1965251
82.6%
2 280321
 
11.8%
9 134475
 
5.7%
ValueCountFrequency (%)
1 1965251
82.6%
2 280321
 
11.8%
9 134475
 
5.7%
ValueCountFrequency (%)
9 134475
 
5.7%
2 280321
 
11.8%
1 1965251
82.6%

_TOTINDA
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.580216693
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.138666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.598908664
Coefficient of variation (CV)1.011828739
Kurtosis16.16698547
Mean1.580216693
Median Absolute Deviation (MAD)0
Skewness4.098078358
Sum3760990
Variance2.556508916
MonotonicityNot monotonic
2025-05-13T08:52:31.168188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 98302
 
4.1%
ValueCountFrequency (%)
1 1687218
70.9%
2 594527
 
25.0%
9 98302
 
4.1%
ValueCountFrequency (%)
9 98302
 
4.1%
2 594527
 
25.0%
1 1687218
70.9%

_RFSEAT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57084755
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.197385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.963117068
Coefficient of variation (CV)1.249718388
Kurtosis10.22405659
Mean1.57084755
Median Absolute Deviation (MAD)0
Skewness3.471624675
Sum3738691
Variance3.853828624
MonotonicityNot monotonic
2025-05-13T08:52:31.226308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2095056
88.0%
9 153379
 
6.4%
2 131612
 
5.5%
ValueCountFrequency (%)
1 2095056
88.0%
2 131612
 
5.5%
9 153379
 
6.4%
ValueCountFrequency (%)
9 153379
 
6.4%
2 131612
 
5.5%
1 2095056
88.0%

_RFSEAT3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.644986423
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.254654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.959037246
Coefficient of variation (CV)1.19091393
Kurtosis9.813581768
Mean1.644986423
Median Absolute Deviation (MAD)0
Skewness3.382385322
Sum3915145
Variance3.83782693
MonotonicityNot monotonic
2025-05-13T08:52:31.284413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1918602
80.6%
2 308066
 
12.9%
9 153379
 
6.4%
ValueCountFrequency (%)
1 1918602
80.6%
2 308066
 
12.9%
9 153379
 
6.4%
ValueCountFrequency (%)
9 153379
 
6.4%
2 308066
 
12.9%
1 1918602
80.6%

_AIDTST3
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing165813
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1.971081647
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.312661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.434690337
Coefficient of variation (CV)0.7278695629
Kurtosis17.94675599
Mean1.971081647
Median Absolute Deviation (MAD)0
Skewness4.175719359
Sum4364436
Variance2.058336363
MonotonicityNot monotonic
2025-05-13T08:52:31.342054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1507994
63.4%
1 625964
26.3%
9 80276
 
3.4%
(Missing) 165813
 
7.0%
ValueCountFrequency (%)
1 625964
26.3%
2 1507994
63.4%
9 80276
 
3.4%
ValueCountFrequency (%)
9 80276
 
3.4%
2 1507994
63.4%
1 625964
26.3%

year
Text

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.374697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters9520188
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015
ValueCountFrequency (%)
2011 506467
21.3%
2013 491773
20.7%
2012 475687
20.0%
2014 464664
19.5%
2015 441456
18.5%
2025-05-13T08:52:31.443266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9520188
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 2886514
30.3%
2 2855734
30.0%
0 2380047
25.0%
3 491773
 
5.2%
4 464664
 
4.9%
5 441456
 
4.6%

_IMPRACE
Real number (ℝ)

Missing 

Distinct6
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.611298618
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.477583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.359107537
Coefficient of variation (CV)0.8434858203
Kurtosis3.218990576
Mean1.611298618
Median Absolute Deviation (MAD)0
Skewness2.167255019
Sum3123649
Variance1.847173297
MonotonicityNot monotonic
2025-05-13T08:52:31.508249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1512262
63.5%
2 156680
 
6.6%
5 147726
 
6.2%
6 54868
 
2.3%
3 38031
 
1.6%
4 29024
 
1.2%
(Missing) 441456
 
18.5%
ValueCountFrequency (%)
1 1512262
63.5%
2 156680
 
6.6%
3 38031
 
1.6%
4 29024
 
1.2%
5 147726
 
6.2%
ValueCountFrequency (%)
6 54868
 
2.3%
5 147726
6.2%
4 29024
 
1.2%
3 38031
 
1.6%
2 156680
6.6%

_DRNKDY4
Real number (ℝ)

Missing 

Distinct346
Distinct (%)< 0.1%
Missing441463
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean595.4511035
Minimum5.397605347 × 10-79
Maximum9900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.545976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median3
Q350
95-th percentile9900
Maximum9900
Range9900
Interquartile range (IQR)50

Descriptive statistics

Standard deviation2280.447958
Coefficient of variation (CV)3.829782067
Kurtosis12.67618055
Mean595.4511035
Median Absolute Deviation (MAD)3
Skewness3.827060332
Sum1154331982
Variance5200442.888
MonotonicityNot monotonic
2025-05-13T08:52:31.684719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
9900 109611
 
4.6%
3 100098
 
4.2%
7 81069
 
3.4%
13 58626
 
2.5%
100 55000
 
2.3%
29 41740
 
1.8%
200 39296
 
1.7%
14 38432
 
1.6%
10 37504
 
1.6%
Other values (336) 461268
19.4%
(Missing) 441463
18.5%
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
3 100098
 
4.2%
7 81069
 
3.4%
10 37504
 
1.6%
13 58626
 
2.5%
ValueCountFrequency (%)
9900 109611
4.6%
7600 19
 
< 0.1%
7347 1
 
< 0.1%
7000 4
 
< 0.1%
6900 1
 
< 0.1%

_DRNKMO4
Real number (ℝ)

Missing 

Distinct331
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean576.1065898
Minimum5.397605347 × 10-79
Maximum9999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.724240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.397605347 × 10-79
5-th percentile5.397605347 × 10-79
Q15.397605347 × 10-79
median1
Q315
95-th percentile9999
Maximum9999
Range9999
Interquartile range (IQR)15

Descriptive statistics

Standard deviation2307.096251
Coefficient of variation (CV)4.004634371
Kurtosis12.73860754
Mean576.1065898
Median Absolute Deviation (MAD)1
Skewness3.838647139
Sum1116835050
Variance5322693.11
MonotonicityNot monotonic
2025-05-13T08:52:31.764848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
9999 109618
 
4.6%
1 100098
 
4.2%
4 97058
 
4.1%
2 81069
 
3.4%
30 55000
 
2.3%
9 50673
 
2.1%
60 39296
 
1.7%
3 37504
 
1.6%
17 35631
 
1.5%
Other values (321) 416704
17.5%
(Missing) 441456
18.5%
ValueCountFrequency (%)
5.397605347 × 10-79915940
38.5%
1 100098
 
4.2%
2 81069
 
3.4%
3 37504
 
1.6%
4 97058
 
4.1%
ValueCountFrequency (%)
9999 109618
4.6%
2280 19
 
< 0.1%
2204 1
 
< 0.1%
2100 4
 
< 0.1%
2070 1
 
< 0.1%

_RFDRHV4
Real number (ℝ)

Missing 

Distinct3
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.504075383
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.2 MiB
2025-05-13T08:52:31.795625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.848381967
Coefficient of variation (CV)1.228915777
Kurtosis12.29955189
Mean1.504075383
Median Absolute Deviation (MAD)0
Skewness3.754262267
Sum2915787
Variance3.416515897
MonotonicityNot monotonic
2025-05-13T08:52:31.825966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1728721
72.6%
9 109618
 
4.6%
2 100252
 
4.2%
(Missing) 441456
 
18.5%
ValueCountFrequency (%)
1 1728721
72.6%
2 100252
 
4.2%
9 109618
 
4.6%
ValueCountFrequency (%)
9 109618
 
4.6%
2 100252
 
4.2%
1 1728721
72.6%

RCSBIRTH
Text

Missing 

Distinct294
Distinct (%)< 0.1%
Missing441456
Missing (%)18.5%
Memory size18.2 MiB
2025-05-13T08:52:31.880767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.384529795
Min length3

Characters and Unicode

Total characters6561219
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)< 0.1%

Sample

1st rowb''
2nd rowb''
3rd rowb''
4th rowb''
5th rowb''
ValueCountFrequency (%)
b 1814350
93.6%
b'999999 9432
 
0.5%
b'777777 4789
 
0.2%
b'051995 779
 
< 0.1%
b'091995 761
 
< 0.1%
b'101995 739
 
< 0.1%
b'041995 718
 
< 0.1%
b'061995 715
 
< 0.1%
b'091996 713
 
< 0.1%
b'071995 712
 
< 0.1%
Other values (284) 104883
 
5.4%
2025-05-13T08:52:31.982697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6561219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 3877182
59.1%
b 1938591
29.5%
0 226217
 
3.4%
9 164279
 
2.5%
1 109552
 
1.7%
2 91514
 
1.4%
7 50802
 
0.8%
5 23297
 
0.4%
6 22385
 
0.3%
8 21258
 
0.3%
Other values (2) 36142
 
0.6%